Triple
T17977937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troye Sivan |
E449522
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Lorde |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lorde | Statement: [Troye Sivan, influencedBy, Lorde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorde Context triple: [Troye Sivan, influencedBy, Lorde]
-
A.
Lorde
chosen
Lorde is a New Zealand singer-songwriter known for her minimalist electropop sound and introspective lyrics, who gained international fame with her hit single "Royals."
-
B.
Maggie Rogers
Maggie Rogers is a fictional African American maid and central character in the television miniseries "Backstairs at the White House," which dramatizes the lives of White House domestic staff across several U.S. presidencies.
-
C.
Maggie Rogers
Maggie Rogers is an American singer-songwriter and producer known for her blend of folk, pop, and electronic music and her breakout hit "Alaska."
-
D.
Olivia Rodrigo
Olivia Rodrigo is an American singer-songwriter and actress known for her emotionally charged pop music and breakout success with her debut album "SOUR."
-
E.
Anne-Marie
Anne-Marie is an English pop singer and songwriter known for hits like "Alarm" and "2002" and for serving as a coach on The Voice UK.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b200e9108190bcdde5ba7938ba94 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.